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building-streamlit-dashboards

Create interactive Streamlit dashboards with metrics, charts, and sidebar filters.

1|1|Updated Nov 9, 2025
Search Tags:#data visualization#layout#metrics#dashboard#streamlit#kpi
One-click install
npx skills add https://github.com/Paldom/databricks-apps-streamlit-vibe-coding-starter --skill building-streamlit-dashboards-paldom
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: building-streamlit-dashboards
Source: https://github.com/Paldom/databricks-apps-streamlit-vibe-coding-starter/tree/main/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards
Command: npx skills add https://github.com/Paldom/databricks-apps-streamlit-vibe-coding-starter --skill building-streamlit-dashboards-paldom

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you create visually appealing and informative dashboards in Streamlit, transforming raw data into actionable insights through organized layouts and clear visualizations.

Core Features & Use Cases

  • Card-based Layouts: Use st.container and st.metric with border=True for distinct visual cards.
  • Responsive Design: Employ horizontal containers for KPI rows that adapt to different screen sizes.
  • Sparkline Trends: Enhance metrics with chart_data to show historical context.
  • Sidebar Filters: Organize user inputs in the sidebar to maximize dashboard real estate.
  • Use Case: Create a sales performance dashboard displaying key metrics like revenue and active users with trendlines, alongside regional sales charts and a recent orders table, all while allowing users to filter by date and region in the sidebar.

Quick Start

Build a Streamlit dashboard with a KPI row, two charts in columns, and a data table, placing filters in the sidebar.

Frequently Asked Questions about building-streamlit-dashboards

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a Streamlit dashboard with responsive KPI metrics and charts?▼

To build a Streamlit dashboard, compose `st.metric` and chart components into horizontal containers for responsive KPI rows, use columns for chart layouts, and place data tables below to display actionable insights.

Can I add sparkline trendlines to Streamlit metrics?▼

Yes, you can add sparkline trends to Streamlit metrics by utilizing the `chart_data` parameter within the `st.metric` component, providing historical context directly alongside your key performance indicators.

What is the best way to organize sidebar filters for a Streamlit data visualization app?▼

The best way to organize sidebar filters in Streamlit is to group user inputs in the sidebar using `st.container`, maximizing dashboard real estate for charts and dataframes while enabling user-driven data exploration.

How do I create bordered card-based layouts in Streamlit?▼

Create bordered card-based layouts in Streamlit by wrapping `st.metric` and visual components inside `st.container` with the `border=True` parameter, ensuring distinct visual separation for your data presentation.

Does Streamlit support adding interactive dataframes to dashboard layouts?▼

Yes, Streamlit supports adding interactive dataframes to dashboard layouts, allowing you to compose tables alongside metrics and charts within organized columns and bordered containers for clear data presentation.

Why use horizontal containers for KPI rows in a Streamlit dashboard?▼

Use horizontal containers for KPI rows in a Streamlit dashboard to ensure responsive design, allowing metrics to adapt to different screen sizes while maintaining an organized visual flow alongside regional charts.

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